{"id":14958803,"url":"https://github.com/ndrplz/machine_learning_lectures","last_synced_at":"2025-05-02T12:31:27.488Z","repository":{"id":151168006,"uuid":"76186467","full_name":"ndrplz/machine_learning_lectures","owner":"ndrplz","description":"Collection of lectures and lab lectures on machine learning and deep learning. 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machine_learning_lectures\n\n**Collection of lectures and lab lectures on machine learning and deep learning.**\n\n---\n\n## Deep Learning\n\n### Gradient Descent\n\u003ca href=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/slides/deep_learning/gradient_descent/gradient_descent.pdf\"\u003e\u003cimg src=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/thumbs/gradient_descent.gif\" alt=\"thumb_gradient_descent\" height=\"256px\"\u003e\u003c/a\u003e\n\u003cbr\u003e\nLaTeX source: [here](https://github.com/ndrplz/machine_learning_lectures/tree/master/slides/deep_learning/gradient_descent).\n\u003cbr\u003e\nPractice (1) [slides](https://github.com/ndrplz/machine_learning_lectures/blob/master/lab/tensorflow_introduction/tex/tensorflow_intro.pdf).\n\u003cbr\u003e\nPractice (2) [slides](https://github.com/ndrplz/machine_learning_lectures/blob/master/lab/tensorflow_linear_regression/tex/tensorflow_regression.pdf) and [code](https://github.com/ndrplz/machine_learning_lectures/tree/master/lab/tensorflow_linear_regression/code) (TensorFlow).\n\n### Neural Networks and Deep Neural Networks\n\u003ca href=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/slides/deep_learning/deep_neural_networks/deep_neural_networks.pdf\"\u003e\u003cimg src=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/thumbs/deep_neural_networks.gif\" alt=\"thumb_neural_networks\" height=\"256px\"\u003e\u003c/a\u003e\n\u003cbr\u003e\nLaTeX source: [here](https://github.com/ndrplz/machine_learning_lectures/blob/master/slides/deep_learning/deep_neural_networks/).\n\u003cbr\u003e\nPractice [slides](https://github.com/ndrplz/machine_learning_lectures/blob/master/lab/tensorflow_neural_network/tex/tensorflow_neural_nets.pdf) and [code](https://github.com/ndrplz/machine_learning_lectures/tree/master/lab/tensorflow_neural_network/code) (TensorFlow).\n\n### Convolutional Neural Networks\n\u003ca href=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/slides/deep_learning/convolutional_neural_networks/convolutional_neural_networks.pdf\"\u003e\u003cimg src=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/thumbs/convolutional_neural_networks.gif\" alt=\"thumb_convnets\" height=\"256px\"\u003e\u003c/a\u003e\n\u003cbr\u003e\nLaTeX source: [here](https://github.com/ndrplz/machine_learning_lectures/tree/master/slides/deep_learning/convolutional_neural_networks).\n\u003cbr\u003e\nPractice [slides](https://github.com/ndrplz/machine_learning_lectures/blob/master/lab/tensorflow_convolutional_nets/tex/tensorflow_convnets.pdf) and [code](https://github.com/ndrplz/machine_learning_lectures/tree/master/lab/tensorflow_convolutional_nets/code) (TensorFlow).\n\n### Recurrent Neural Networks\n\u003ca href=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/slides/deep_learning/recurrent_neural_networks/recurrent_neural_networks.pdf\"\u003e\u003cimg src=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/thumbs/recurrent_neural_networks.gif\" alt=\"thumb_recurrent\" height=\"256px\"\u003e\u003c/a\u003e\n\u003cbr\u003e\nLaTeX source: [here](https://github.com/ndrplz/machine_learning_lectures/tree/master/slides/deep_learning/recurrent_neural_networks).\n\u003cbr\u003e\nPractice [slides](https://github.com/ndrplz/machine_learning_lectures/blob/master/lab/tensorflow_recurrent_nets/tex/tensorflow_lstm.pdf) and [code](https://github.com/ndrplz/machine_learning_lectures/tree/master/lab/tensorflow_recurrent_nets/code) (TensorFlow).\n\n---\n\n## Reinforcement Learning\n\n### Introduction and Model Free Learning\n\u003ca href=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/slides/reinforcement_learning/01_introduction_and_model_free_learning/01_introduction_and_model_free_learning.pdf\"\u003e\u003cimg src=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/thumbs/01_introduction_and_model_free_learning.gif\" alt=\"thumb_model_free\" height=\"256px\"\u003e\u003c/a\u003e\n\u003cbr\u003e\nLaTeX source: [here](https://github.com/ndrplz/machine_learning_lectures/blob/master/slides/reinforcement_learning/01_introduction_and_model_free_learning/).\n\u003cbr\u003e\nPractice [slides](https://github.com/ndrplz/machine_learning_lectures/blob/master/lab/q_learning/tex/q_learning.pdf) and [code](https://github.com/ndrplz/machine_learning_lectures/tree/master/lab/q_learning/code) (TensorFlow).\n\n### Function Approximation\n\u003ca href=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/slides/reinforcement_learning/02_function_approximation/02_function_approximation.pdf\"\u003e\u003cimg src=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/thumbs/02_function_approximation.gif\" alt=\"thumb_fun_approx\" height=\"256px\"\u003e\u003c/a\u003e\n\u003cbr\u003e\nLaTeX source: [here](https://github.com/ndrplz/machine_learning_lectures/blob/master/slides/reinforcement_learning/02_function_approximation/).\n\n---\n\n## Machine Learning\n\n### Boosting\n\u003ca href=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/lab/boosting/tex/boosting.pdf\"\u003e\u003cimg src=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/thumbs/boosting.gif\" alt=\"thumb_boosting\" height=\"256px\"\u003e\u003c/a\u003e\n\u003cbr\u003e\nLaTeX source: [here](https://github.com/ndrplz/machine_learning_lectures/tree/master/lab/boosting/tex).\n\u003cbr\u003e\nPractice code: [here](https://github.com/ndrplz/machine_learning_lectures/tree/master/lab/boosting/code).\n\n### Clustering\n\n\u003ca href=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/lab/clustering/tex/clustering.pdf\"\u003e\u003cimg src=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/thumbs/clustering.gif\" alt=\"thumb_clustering\" height=\"256px\"\u003e\u003c/a\u003e\n\u003cbr\u003e\nLaTeX source: [here](https://github.com/ndrplz/machine_learning_lectures/tree/master/lab/clustering/tex).\n\u003cbr\u003e\nPractice code: [here](https://github.com/ndrplz/machine_learning_lectures/tree/master/lab/clustering/code).\n\n### Dimensionality Reduction\n\n\u003ca href=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/lab/dimensionality_reduction/tex/dimensionality_reduction.pdf\"\u003e\u003cimg src=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/thumbs/dimensionality_reduction.gif\" alt=\"thumb_dim_reduction\" height=\"256px\"\u003e\u003c/a\u003e\n\u003cbr\u003e\nLaTeX source: [here](https://github.com/ndrplz/machine_learning_lectures/tree/master/lab/dimensionality_reduction/tex).\n\u003cbr\u003e\nPractice code: [here](https://github.com/ndrplz/machine_learning_lectures/tree/master/lab/dimensionality_reduction/code).\n\n### Logistic Regression\n\n\u003ca href=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/lab/logistic_regression/tex/logistic_regression.pdf\"\u003e\u003cimg src=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/thumbs/logistic_regression.gif\" alt=\"thumb_logistic_regression\" height=\"256px\"\u003e\u003c/a\u003e\n\u003cbr\u003e\nLaTeX source: [here](https://github.com/ndrplz/machine_learning_lectures/tree/master/lab/logistic_regression/tex).\n\u003cbr\u003e\nPractice code: [here](https://github.com/ndrplz/machine_learning_lectures/tree/master/lab/logistic_regression/code).\n\n### Naive Bayes\n\n\u003ca href=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/lab/naive_bayes/tex/naive_bayes.pdf\"\u003e\u003cimg src=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/thumbs/naive_bayes.gif\" alt=\"thumb_bayes\" height=\"256px\"\u003e\u003c/a\u003e\n\u003cbr\u003e\nLaTeX source: [here](https://github.com/ndrplz/machine_learning_lectures/tree/master/lab/naive_bayes/tex).\n\u003cbr\u003e\nPractice code: [here](https://github.com/ndrplz/machine_learning_lectures/tree/master/lab/naive_bayes/code).\n\n### Support Vector Machine (SVM)\n\n\u003ca href=\"https://github.com/ndrplz/machine_learning_lectures/tree/master/lab/support_vector_machines/tex/support_vector_machines.pdf\"\u003e\u003cimg src=\"https://github.com/ndrplz/machine_learning_lectures/blob/master/thumbs/support_vector_machines.gif\" alt=\"thumb_svm\" height=\"256px\"\u003e\u003c/a\u003e\n\u003cbr\u003e\nLaTeX source: [here](https://github.com/ndrplz/machine_learning_lectures/tree/master/lab/support_vector_machines/tex).\n\u003cbr\u003e\nPractice code: [here](https://github.com/ndrplz/machine_learning_lectures/tree/master/lab/support_vector_machines/code).\n\n## F.A.Q.\n\n* **How did you make the thumbnails?** \n\nPlease see [`make_thumbs.py`](./make_thumbs.py). The script assumes that [ImageMagick](https://imagemagick.org/index.php) library is already installed in your system.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fndrplz%2Fmachine_learning_lectures","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fndrplz%2Fmachine_learning_lectures","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fndrplz%2Fmachine_learning_lectures/lists"}